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Ccgs Propagate Design Change

Community
MinhLN1234
ccgs-propagate-design-change

When a GDD is revised, scan all ADRs and the traceability index to find architectural decisions that are now potentially stale, produce a change-impact report, and guide the user through resolution. Run right after editing any GDD.

Overview

PublisherMinhLN1234
RepositoryClaude-Cowork-Game-Studio
Skill nameccgs-propagate-design-change
Stars
79
Forks
31
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MinhLN1234 on GitHub. Read the source before you install it.

Installation

Install the Ccgs Propagate Design Change AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MinhLN1234/Claude-Cowork-Game-Studio/tree/master/ccgs-propagate-design-change
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MinhLN1234/Claude-Cowork-Game-Studio.git /tmp/Claude-Cowork-Game-Studio
mkdir -p .claude/skills
cp -r /tmp/Claude-Cowork-Game-Studio/ccgs-propagate-design-change .claude/skills/ccgs-propagate-design-change
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccgs Propagate Design Change in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ccgs Propagate Design Change on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ccgs Propagate Design Change is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cowork Adaptation Notes (read first)

Converted from Claude Code Game Studios (github.com/Donchitos/Claude-Code-Game-Studios) for Claude Cowork. Apply these substitutions when following the instructions below:

  1. Agents: Named agents (e.g. game-designer, unity-specialist) are not Cowork subagents. When told to "spawn an agent via Task", read the matching file in this skill's bundled roles/ folder and either (a) launch a general-purpose subagent via the Agent tool with that role file's content prepended to the brief, or (b) adopt the role inline and continue. If a role file is not bundled, adopt the role inline from its name.
  2. Project paths: design/, docs/, production/, src/ live in the user's connected project folder. Create them there as needed. Bundled reference docs are in this skill's refs/ and templates/ folders.
  3. Slash commands: /skill-name means "the ccgs-skill-name skill". Installed set: start, brainstorm, map-systems, design-system, consistency-check, create-architecture, create-epics, create-stories, story-readiness, sprint-plan, dev-story, code-review, story-done, propagate-design-change, reverse-document. If a referenced skill is NOT in this set, tell the user it isn't installed and offer to do the equivalent steps manually.
  4. Hooks: Claude Code hooks do not run in Cowork. Do their checks manually: validate JSON files you write, follow naming conventions, no hardcoded magic numbers, and update production/session-state/active.md at the start and end of each work session.
  5. Engine: This project targets Unity (C#). Ignore Godot and Unreal routing rows.
  6. Review mode: If production/review-mode.txt doesn't exist in the project folder, default to lean.

Propagate Design Change

When a GDD changes, architectural decisions written against it may no longer be valid. This skill finds every affected ADR, compares what the ADR assumed against what the GDD now says, and guides the user through resolution.

Usage: /propagate-design-change design/gdd/combat-system.md

1. Validate Argument

A GDD path argument is required. If missing, fail with:

"Usage: /propagate-design-change design/gdd/[system].md Provide the path to the GDD that was changed."

Verify the file exists. If not, fail with:

"[path] not found. Check the path and try again."

2. Read the Changed GDD

Read the current GDD in full.

3. Read the Previous Version

Run git to get the previous committed version:

bash
git show HEAD:design/gdd/[filename].md

If the file has no git history (new file), report:

"No previous version in git — this appears to be a new GDD, not a revision. Nothing to propagate."

If git returns the previous version, do a conceptual diff:

  • Identify sections that changed (new rules, removed rules, modified formulas, changed acceptance criteria, changed tuning knobs)
  • Identify sections that are unchanged
  • Produce a change summary:
## Change Summary: [GDD filename]
Date of revision: [today]

Changed sections:
- [Section name]: [what changed — new rule, removed rule, formula modified, etc.]

Unchanged sections:
- [Section name]

Key changes affecting architecture:
- [Change 1 — likely to affect ADRs]
- [Change 2]

4. Load Architecture Inputs

Read all ADRs in docs/architecture/:

  • For each ADR, read the full file
  • Extract the "GDD Requirements Addressed" table
  • Note which GDD documents and requirement IDs each ADR references

Read docs/architecture/architecture-traceability.md if it exists.

Report: "Loaded [N] ADRs. [M] reference [gdd filename]."

5. Impact Analysis

For each ADR that references the changed GDD:

Compare the ADR's "GDD Requirements Addressed" entries against the changed sections of the GDD. For each referenced requirement:

  1. Locate the requirement in the current GDD — does it still exist?
  2. Compare: What did the GDD say when the ADR was written vs. what it says now?
  3. Assess the ADR decision: Is the architectural decision still valid?

Classify each affected ADR as one of:

StatusMeaning
✅ Still ValidThe GDD change doesn't affect what this ADR decided
⚠️ Needs ReviewThe GDD change may affect this ADR — human judgment needed
🔴 Likely SupersededThe GDD change directly contradicts what this ADR assumed

For each affected ADR, produce an impact entry:

### ADR-NNNN: [title]
Status: [Still Valid / Needs Review / Likely Superseded]

What the ADR assumed about this GDD:
  "[relevant quote from the ADR's GDD Requirements Addressed section]"

What the GDD now says:
  "[relevant quote from the current GDD]"

Assessment:
  [Explanation of whether the ADR decision is still valid, and why]

Recommended action:
  [Keep as-is | Review and update | Mark Superseded and write new ADR]

6. Present Impact Report

Present the full impact report to the user before asking for any action. Format:

## Design Change Impact Report
GDD: [filename]
Date: [today]
Changes detected: [N sections changed]
ADRs referencing this GDD: [M]

### Not Affected
[ADRs referencing this GDD whose decisions remain valid]

### Needs Review ([count])
[ADRs that may need updating]

### Likely Superseded ([count])
[ADRs whose assumptions are now contradicted]

6b. Director Gate — Technical Impact Review

Review mode check — apply before spawning TD-CHANGE-IMPACT:

  • solo → skip. Note: "TD-CHANGE-IMPACT skipped — Solo mode." Proceed to Phase 7.
  • lean → skip. Note: "TD-CHANGE-IMPACT skipped — Lean mode." Proceed to Phase 7.
  • full → spawn as normal.

Spawn technical-director via Task using gate TD-CHANGE-IMPACT (refs/director-gates.md).

Pass: the full Design Change Impact Report from Phase 6 (change summary, all affected ADRs with their Still Valid / Needs Review / Likely Superseded classifications, and recommended actions).

The technical-director reviews whether:

  • The impact classifications are correct (no ADRs under-classified)
  • The recommended actions are architecturally sound
  • Any cascading effects on other ADRs or systems were missed

Apply the verdict:

  • APPROVE → proceed to Phase 7 resolution workflow
  • CONCERNS → surface the specific ADRs or recommendations flagged; use AskUserQuestion with options: Revise the impact assessment / Accept with noted concerns / Discuss further
  • REJECT → do not proceed to resolution; re-analyze the impact before continuing

7. Resolution Workflow

For each ADR marked "Needs Review" or "Likely Superseded", ask the user what to do:

Ask for each ADR in turn:

"ADR-NNNN ([title]) — [status]. What would you like to do?" Options:

  • "Mark Superseded (I'll write a new ADR)" — updates ADR status line to Superseded by: [pending]
  • "Update in place (minor revision)" — opens the ADR for editing; note what to revise
  • "Keep as-is (the change doesn't actually affect this decision)"
  • "Skip for now (revisit later)"

For ADRs marked Superseded:

  • Update the ADR's Status field: Superseded by ADR-[next number] (pending — see change-impact-[date]-[system].md)
  • Ask: "May I update the status in [ADR filename]?"

8. Update Traceability Index

If docs/architecture/architecture-traceability.md exists:

  • Add the changed GDD requirements to the "Superseded Requirements" table:
markdown
## Superseded Requirements
| Date | GDD | Requirement | Changed To | ADRs Affected | Resolution |
|------|-----|-------------|------------|---------------|------------|
| [date] | [gdd] | [old requirement text] | [new requirement text] | ADR-NNNN | [Superseded/Updated/Valid] |

Ask: "May I update the traceability index?"

9. Output Change Impact Document

Ask: "May I write the change impact report to docs/architecture/change-impact-[date]-[system-slug].md?"

The document contains:

  • The change summary from step 3
  • The full impact analysis from step 5
  • Resolution decisions made in step 7
  • List of ADRs that need to be written or updated

If user approved: Verdict: COMPLETE — change impact report saved. If user declined: Verdict: BLOCKED — user declined write.

10. Follow-Up Actions

Based on the resolution decisions, suggest:

  • ADRs marked Superseded: "Run /architecture-decision [title] to write the replacement ADR. Then re-run /propagate-design-change to verify coverage."
  • ADRs to update in place: List the specific fields to update in each ADR
  • If many ADRs affected: "Run /architecture-review after all ADRs are updated to verify the full traceability matrix is still coherent."

Collaborative Protocol

  1. Read silently — compute the full impact before presenting anything
  2. Show the full report first — let the user see the scope before asking for action
  3. Ask per-ADR — don't batch decisions; each affected ADR may need different treatment
  4. Ask before writing — always confirm before modifying any file
  5. Non-destructive — never delete ADR content; only add "Superseded by" notes

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ccgs Propagate Design Change AI skill do?

When a GDD is revised, scan all ADRs and the traceability index to find architectural decisions that are now potentially stale, produce a change-impact report, and guide the user through resolution. Run right after editing any GDD.

Why use Ccgs Propagate Design Change on TypingMind?

Because you install it once and use it with any model. Ccgs Propagate Design Change is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ccgs Propagate Design Change in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MinhLN1234/Claude-Cowork-Game-Studio/tree/master/ccgs-propagate-design-change. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ccgs Propagate Design Change?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ccgs Propagate Design Change?

As many as you like. As long as a model supports skills, you can use Ccgs Propagate Design Change with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ccgs Propagate Design Change AI skill free?

It is published on GitHub by MinhLN1234. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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